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    Bayesian Optimization

    Bayesian Optimization

    Python implementation of global optimization with gaussian processes

    This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. More detailed information, other advanced features, and tips on usage/implementation can be found in the examples folder. Follow the basic...
    Downloads: 1 This Week
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  • 2
    Tool for annotating (bike race) videos with data from GPS devices to display time, distance, speed, power, HR, CAD, elevation, laps. Outputs a series of SVG files importable as image sequence into the OpenShot Video editor as overplayed video track.
    Downloads: 0 This Week
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  • 3
    Python software package for 3D tracking of leg joints in walking insects. Published as Bender et al., PLoS ONE, 2010 (http://dx.doi.org/10.1371/journal.pone.0013617)
    Downloads: 0 This Week
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